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David SenraDavid Senra

Building Defense Technologies to Protect Democracies | Torsten Reil, Helsing

Torsten Reil has spent his career working at the intersection of artificial intelligence, simulation and entrepreneurship. He began as a biologist studying neural networks and complex systems before founding NaturalMotion, whose technology was used in films including Lord of the Rings, Troy and Harry Potter and later in games including Grand Theft Auto and Red Dead Redemption. After building and selling NaturalMotion, he eventually returned to entrepreneurship to co-found Helsing, a European defense technology company focused on artificial intelligence and autonomous systems. Reil believes warfare is undergoing a fundamental shift from humans operating expensive weapons systems toward what he calls autonomous mass: large numbers of AI-controlled machines operating together. He explains why drones are making tanks, artillery and eventually crewed fighter jets increasingly vulnerable; how AI can navigate without GPS in jammed environments; and why Helsing developed Centaur, an AI fighter pilot that has controlled a real Saab Gripen in air combat against a human-operated aircraft. That work led Helsing to begin building its own autonomous fighter jet, the CA1 Europa. The underlying strategy is to combine simpler, mass-manufacturable hardware with increasingly capable software. Reil argues that future conflicts will become battles of materiel, making manufacturing capacity as important as technological sophistication. Helsing's HX-2 strike drone was redesigned to scale from dozens of units per month to a baseline of 1,000, with the ability to surge to 3,000. He also explains Helsing's concept of distributed “resilience factories,” which allow countries to manufacture systems domestically while reducing their dependence on vulnerable centralized production facilities. Reil also describes how he runs Helsing and why he considers talent density the most important ingredient in company performance and culture. The company closely monitors recruiting, conducts quarterly performance calibration and makes an unusually large investment in finding and retaining exceptional people. He discusses Helsing's values of “whatever it takes” and “the truth is in the field,” why founders should pursue ambitions large enough to matter, and why he believes commentary has little value compared with actually building something that changes the world. Show notes: https://www.davidsenra.com/episode/torsten-reil Made possible by Ramp: https://ramp.com AppLovin: https://applovin.com Deel: https://deel.com/senra David Senra Website: https://www.davidsenra.com X: https://x.com/davidsenra Instagram: https://www.instagram.com/davidsenra LinkedIn: https://www.linkedin.com/in/davidsenra Facebook: https://www.linkedin.com/company/senrashow Threads: https://www.threads.com/@davidsenra Spotify: https://spti.fi/TVrr557 Apple Podcasts: https://apple.co/4msoZtb Torsten Reil Helsing: https://helsing.ai X: https://x.com/torstenreil LinkedIn: https://www.linkedin.com/in/torstenreil Chapters 00:00:00 Drones, Tanks & the Future of Warfare 00:07:08 Why Torsten Founded Helsing 00:09:27 Founder Conviction & Betting on European Defense 00:19:19 Helsing's Mission: Protecting Democracies 00:23:38 Programs of Record & Winning the Eurofighter Contract 00:28:35 Building a Superhuman AI Fighter Pilot 00:36:14 Deterrence, Autonomous Weapons & the Morality of Defense 00:42:11 Mass Manufacturing, Software & the Future of Materiel 00:48:33 Airbase Vulnerability, Procurement & Scaling Strike Drones 00:52:46 Talent Density, Hiring & Performance Management 00:59:44 How Torsten Hires Exceptional People 01:05:27 Helsing's Culture: Whatever It Takes & Truth Is in the Field 01:07:38 Deploying in Ukraine & the Weight of Defense Technology 01:10:50 NaturalMotion, Gaming & Torsten's Path Into AI 01:18:33 Outsiders, First Principles & Ambitious North Stars 01:20:54 Why Commentary Is Worthless & Founders Should Build

David SenrahostTorsten Reilguest
Aug 26, 20261h 23mWatch on YouTube ↗

CHAPTERS

  1. 0:02 – 3:10

    Drones make tanks and artillery obsolete: Ukraine’s battlefield lessons

    Torsten argues that drones have radically shifted modern warfare, making tanks and traditional artillery high-priority, easily detected targets. He explains how ISR drones find targets and FPV/strike drones destroy them quickly, collapsing survivability on the front line.

    • Tanks/artillery are increasingly unusable due to rapid detection and strike
    • ISR drones enable persistent surveillance and target acquisition
    • FPV drones vs longer-range strike drones: different roles and capabilities
    • Autonomous mass will accelerate lethality beyond current remote-controlled drones
  2. 3:10 – 4:08

    Autonomy beats jamming: GPS-free navigation and terminal guidance

    The conversation turns technical: why autonomy is required to scale drone warfare and how modern systems operate in jammed environments. Torsten describes navigation without GPS, robust perception across conditions, and the role of humans remaining ‘in the loop.’

    • Remote-controlled drones don’t scale; autonomy is required for NATO-scale deployment
    • Jamming challenges: video-link denial and GPS denial
    • Workarounds: fiber-optic FPVs and AI-based GPS-free navigation
    • Autonomy already works for terminal guidance and is moving toward near-full autonomy
  3. 4:08 – 7:08

    War becomes machines vs machines: materiel, scale, and industrial capacity

    David connects Torsten’s thesis to historical mass-production (Freedom’s Forge): future wars are a contest of production capacity. Torsten frames the emerging battlefield as autonomous systems fighting each other, pushing humans off the front line for both practicality and ethics.

    • Future conflict centers on materiel: mass-produced machines
    • Autonomous swarms make human presence increasingly nonviable
    • Ethical implication: sending humans becomes ‘unethical’ when survival odds collapse
    • Robots on the ground become necessary to hold/retake territory
  4. 7:08 – 13:43

    Why Helsing was founded: Europe’s defense gap and an unpopular bet (2020–2021)

    Torsten recounts how he met his co-founders and why they felt Europe needed a new defense company focused on AI and abundant, affordable hardware. He details the social and financial stigma around defense in 2021 and why the team raised early funding outside mainstream VC.

    • Torsten didn’t plan to found again until meeting Gunther and Niklas
    • Motivation: Europe lacked Anduril/Palantir-style forward-leaning defense tech
    • Defense stigma created banking/ESG hurdles; hard to raise from VCs
    • Early capital came from individuals/family offices; Daniel Ek’s €100M was pivotal
  5. 13:43 – 18:52

    Founder conviction and ambition: ‘aggression’ as Europe’s missing ingredient

    They explore the importance of decisive founder conviction and Torsten’s belief that ambition, not capital or regulation, is the real limiter. Torsten criticizes Europe’s comfort with early exits and argues that a few aggressive companies can shift an entire ecosystem.

    • Conviction enables speed and reduces negotiation/decision friction
    • Europe’s early selling/retiring culture vs building enduring companies
    • Regulation/bureaucracy are ‘excuses’; execution can outpace constraints
    • Role models (e.g., Spotify) help reset what ‘good’ looks like
  6. 18:52 – 23:38

    Helsing’s mission: protecting democracies—and proving big companies can be built in Europe

    Torsten states Helsing’s mission plainly—protect democracies—and explains why mission clarity simplifies culture and alignment. He also frames Helsing as a demonstration that Europe can build globally significant companies even in heavily regulated sectors like defense.

    • Mission-first framing: deterrence and defense to protect democracies
    • Mission clarity reduces ‘values theater’ and drives alignment
    • Europe can build large, impactful companies despite regulation
    • Defense adds complexity (politics, export law, classification) but can be managed
  7. 23:38 – 28:37

    Programs of Record strategy: going straight for the hardest contracts (Eurofighter EW win)

    Torsten explains the high-risk strategy of targeting “programs of record” early—official budgeted government programs where being the prime matters. He walks through Helsing’s Eurofighter electronic warfare upgrade win, using AI to interpret software-defined ‘shape-shifting’ radars.

    • Program of record: large, official government program; long timelines; high barriers
    • €100M enabled taking multi-shot risk without needing quick revenue proof
    • Eurofighter EW: AI/deep learning to classify and interpret evolving radar threats
    • Winning as a ‘dark horse’ established a repeatable blueprint for future bids
  8. 28:37 – 33:19

    Building a superhuman AI fighter pilot: reinforcement learning, simulation, and real flight tests

    Torsten describes Centaur: a neural network trained via reinforcement learning to outperform human fighter pilots in beyond-visual-range combat. He details the high-speed simulator approach, progression from internal sims to prime sims, and eventual real-world Gripen flights over the Baltic Sea.

    • BVR air combat as ‘chess in the sky’ with complex tactics and timing
    • RL + 20–25k× real-time simulation to explore the search space
    • AI surpasses humans; pilots’ intuition ‘last bastion’ claim is challenged
    • From simulation to real aircraft control: AI flew Gripen vs human Gripen in exercises
  9. 33:19 – 36:14

    From software to full systems: acquiring manufacturing to build CA1 Europa and swarmable jets

    The discussion shifts from AI capability to organizational strategy: primes move too slowly, so Helsing acquired an aircraft manufacturer to build its own autonomous jet. Torsten explains regulatory constraints (safety pilot in early prototypes) and why autonomy changes future airpower dynamics.

    • Centaur extends to swarms of autonomous fighter jets, not just 2v2
    • Primes’ timelines pushed Helsing toward vertical integration via acquisition
    • CA1 designed to fly soon; safety pilot required initially due to European airspace realities
    • Autonomous opponents make crewed jets increasingly risky/obsolete
  10. 36:14 – 42:31

    Deterrence, autonomy, and ethics: minimizing lives lost and setting societal red lines

    Torsten lays out his moral framework: the goal is fewer deaths, ideally zero, achieved first through deterrence. He also highlights the unresolved societal debate about machines making life-and-death decisions—even if more accurate than humans—and notes that public scrutiny has faded since Ukraine.

    • Deterrence is the best outcome: avoid conflict altogether
    • If conflict occurs, autonomy reduces friendly casualties and replaces ‘unethical’ deployments
    • Open question: should machines ever decide lethal force, even if better than humans?
    • Helsing runs ethics workshops and deployment guides; concerns include proliferation
  11. 42:31 – 44:51

    Mass manufacturing doctrine: simple ‘good-enough’ hardware + software-driven capability

    Torsten explains how Helsing aims for scale: design for mass production, keep hardware simpler, and use software/AI to regain performance and coordination. He describes the HX-2 strike drone’s production ramp and why coordinated mass (including saturation) changes combat economics.

    • Design-to-manufacture: economies of scale and rapid production ramps
    • Software absorbs complexity: simpler sensors/tolerances, AI restores accuracy and control
    • HX-2: larger payload and ~100km range; scaled from dozens to 1,000+/month
    • Mass and coordination enable saturation tactics and overwhelm defenses
  12. 44:51 – 48:46

    Resilience factories, supply-chain sovereignty, and airbase vulnerability

    They discuss the trade-offs between allied supply chains and national control, introducing Helsing’s ‘resilience factory’ concept—distributed, harder-to-strike manufacturing on a customer’s soil. Torsten connects this to broader vulnerability: centralized factories and airbases are obvious targets, so systems like CA1 must operate from improvised runways.

    • Not all vertical integration is required, but sovereignty matters in sensitive areas
    • Resilience factories: distributed/underground production to reduce strike vulnerability
    • Countries can localize manufacturing and supply chains to preferred levels
    • Airbase dependence is a major weakness; CA1 is designed for road/highway takeoff/landing
  13. 48:46 – 52:35

    Scaling adoption: procurement speed, demonstrations, and the coming European autonomous air programs

    Torsten argues procurement is faster than its reputation once governments see credible demonstrations and urgency. He identifies today’s bottleneck as demand signals—large programs and contracts across countries—rather than the ability to physically manufacture drones.

    • Demonstrations convert skepticism into rapid procurement action
    • Recent large strike-drone contracting moved ‘in record time’ under political support
    • Current bottleneck: sufficient large programs across multiple countries, not production
    • Expectation: major autonomous fighter-jet programs in Europe emerging quickly
  14. 52:35 – 1:05:33

    Talent density as the operating system: hiring pressure, calibration, and ‘effortless’ people

    Torsten describes how Helsing treats recruiting and performance management as core infrastructure. He explains keeping constant pipeline pressure, quarterly calibration that holds managers accountable, and his personal heuristic for senior hires—‘effortlessness’ (deep competence, curiosity, high agency, no posturing).

    • Hiring + exits are linked: strong pipeline lowers the cost of removing poor fits
    • Early focus: external recruiter before founding; weekly KPI monitoring for recruiting health
    • Quarterly performance calibration: evaluate manager rationale to align standards company-wide
    • Heuristic: ‘effortless’ talent signals depth, curiosity, and agency quickly
  15. 1:05:33 – 1:10:50

    Culture forged in reality: ‘Whatever it takes,’ ‘Truth is in the field,’ and Ukraine’s gravity

    They discuss how Helsing’s culture emerged from lived experiences rather than abstract workshops, especially through deployments and frontline feedback. Torsten reflects on the emotional weight of real combat use—defense work is serious even when strategically necessary—and how values hardened around execution and field truth.

    • Values rewritten organically by employees based on real experiences
    • ‘Whatever it takes’ and ‘Truth is in the field’ as operational cultural anchors
    • Deployment in Ukraine made the mission concrete and the work emotionally heavier
    • Field performance overrides claims, tests, and presentations—combat reality is decisive
  16. 1:10:50 – 1:23:54

    Torsten’s path from biology and gaming to defense AI—and why ‘commentary is worthless’

    Torsten traces his origins: neural network simulations in 1999, a eureka moment leading to NaturalMotion, then games, vertical integration, and hit products. He closes with a critique of online negativity and armchair commentary, arguing founders have rare leverage and should focus on building.

    • 1999 research: genetic algorithms + neural nets + physics simulation led to founding NaturalMotion
    • Gaming taught complex cross-disciplinary execution; ‘outsider’ mindset enabled contrarian moves
    • Ambitious North Stars (top-grossing game; now defending democracies) guide strategy
    • Online commentary incentivizes negativity; creators/builders create disproportionate value

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